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PENERAPAN PSO UNTUK SENTIMEN ANALISIS PADA REVIEW MATA UANG KRIPTO MENGGUNAKAN METODE NAÏVE BAYES Merlina, Nita; Chandra, Ade; Mayangky, Nissa Almira
INTI Nusa Mandiri Vol. 18 No. 2 (2024): INTI Periode Februari 2024
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i2.4982

Abstract

In the digital age emerging currencies using digital technology called currency crypto money. Many people use cryptocurrencies to invest. This triggered the sentiment in society on social media twitter, there are positive opinions and there are negative opinions. The purpose of this study is to determine the public sentiment regarding the review of crypto currency and then classify it into two sentiments, namely positive and negative sentiments. The classifier method used is Naïve Bayes, Naïve Bayes is a good classifier method but has shortcomings in the selection of features therefore Particle Swarm Optimization (PSO) is applied as a feature selection in order to improve the accuracy value. After conducted experiments using Naïve Bayes method, obtain accuracy value of 66% with AUC 0.482 and after Applied Particle Swarm Optimization (PSO) as feature selection in Naïve Bayes obtain accuracy value of 85% with AUC 0.716 has increased accuracy .
Perancangan Website Layanan Administrasi berbasis UI/UX Di RW 013 Cipinang Melayu Jakarta Timur Nurfalah, Ridan; Mayangky, Nissa Almira; Hadianti, Sri; Kusumayudha, Mochammad Rizky
Jurnal Sosial & Abdimas Vol. 6 No. 1 (2024): Jurnal Sosial & Abdimas
Publisher : LPPM Universitas Adhirajasa Reswara Sanjaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51977/jsa.v6i1.1554

Abstract

Dalam era digitalisasi, peran teknologi informasi menjadi krusial dalam meningkatkan efisiensi administrasi masyarakat. Penelitian ini merupakan hasil kegiatan pengabdian masyarakat yang dilakukan oleh dosen dari Universitas Nusa Mandiri di wilayah RW 013 Cipinang Melayu Jakarta Timur. Fokus utama pada penelitian ini adalah perancangan website layanan administrasi berbasis desain UI-UX yang bertujuan untuk meningkatkan efektivitas pengelolaan administrasi dan keterlibatan masyarakat dalam proses lokal. Metode penelitian yang dilakukan melibatkan partisipasi aktif dosen dan masyarakat setempat dalam proses perancangan website. Analisis data menggunakan pendekatan kualitatif untuk menggali kebutuhan masyarakat dan memastikan bahwa website yang dihasilkan sesuai dengan konteks local. Penelitian ini diharapkan memberikan pandangan yang mendalam tentang perancangan website administrasi di tingkat RW, menggabungkan konsep-konsep UI-UX terkini dan menawarkan solusi inovatif untuk meningkatkan kualitas hidup dan partisipasi masyarakat. Dengan melibatkan dosen dan masyarakat setempat, diharapkan implementasi website ini dapat memberikan dampak positif yang signifikan dalam pengelolaan administrasi lokal di RW 013 Cipinang Melayu Jakarta Timur.
Comparison of Naive Bayes and Decision Tree Methods in Breast Cancer Classification Sulistyowati, Daning Nur; Hadianti, Sri; Mayangky, Nissa Almira
Journal Medical Informatics Technology Volume 3 No. 4, December 2025
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v3i4.112

Abstract

The early diagnosis of breast cancer is a critical factor in improving recovery rates and reducing cancer-related mortality. This study aims to compare the performance of two widely used machine learning algorithms in medical data classification Naive Bayes and Decision Tree in detecting breast cancer using the Breast Cancer Wisconsin (Diagnostic) dataset. The dataset consists of 569 samples with 30 numerical features and one target label. The methodology includes data preprocessing, model training, and performance evaluation using six metrics: accuracy, precision, recall, F1-score, AUC, and MCC. Naive Bayes achieved higher performance, with 96.5% accuracy, 97.6% precision, 93.0% recall, 95.2% F1-score, 0.997 AUC, and 0.925 MCC, compared to Decision Tree with 93.9% accuracy, 90.9% precision, 93.0% recall, 92.0% F1-score, 0.936 AUC, and 0.87 MCC. Confusion matrix and ROC curve analyses support these results, particularly in minimizing classification errors. While Decision Tree offers better interpretability, Naive Bayes may be more suitable for early breast cancer detection under similar dataset conditions. Future studies could explore ensemble approaches to combine the strengths of both methods.
ANALYSIS OF THE EFFECTIVENESS OF THE SCRUM METHODOLOGY IN AN EMPLOYEE TASK MONITORING APPLICATION Dama Sukma Kusuma Diwirya; Nissa Almira Mayangky
Jurnal Techno Nusa Mandiri Vol. 23 No. 1 (2026): Techno Nusa Mandiri : Journal of Computing and Information Technology Period o
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/zqd9tj56

Abstract

This study evaluates the effectiveness of the Scrum methodology in improving the productivity of IT development teams at PT. Erajaya Swasembada Tbk, focusing on the development of an employee task monitoring application. Using a mixed-methods approach, it combines qualitative insights from interviews and observations with quantitative metrics from Evidence-Based Management (EBM), including Employee Satisfaction, Lead Time, Velocity, and Innovation Rate. The findings show that Scrum significantly enhances team collaboration and transparency, with an average Employee Satisfaction score of 4.19 out of 5 and Velocity exceeding targets in several sprints (e.g., 167.5% in PROD Sprint 7). However, inconsistent Scrum practices and limited inter-team communication remain challenges. This study provides recommendations to optimize Scrum implementation to improve project outcomes.
Pendampingan Membuat Media Pembelajaran Visual dengan Canva Pada Raudhatul Athfal Al Muttaqin Sri Hadianti; Nissa Almira Mayangky; Ridan Nurfalah; Nita Merlina
SWAGATI : Journal of Community Service Vol. 3 No. 1 (2025): March
Publisher : Universitas AMIKOM Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/swagati.2025v3i1.1966

Abstract

This community service activity aims to enhance the skills of teachers at Raudhatul Athfal (RA) Al Muttaqin in creating engaging and interactive visual learning materials using the Canva application. These skills are considered crucial to supporting a more creative and effective learning process, particularly for young children who tend to learn through visual media. The method used in this activity is a workshop that includes an introduction to the Canva application, hands-on practice in creating various learning materials such as educational posters and infographics, as well as evaluation and mentoring sessions. The outcomes of this activity are expected to improve the creativity of the teachers at RA Al Muttaqin, increase the appeal of teaching materials, and provide a more enjoyable learning experience for children. Thus, this activity is anticipated to make a positive contribution to the quality of education at RA Al Muttaqin and serve as a foundation for sustainable collaboration between Universitas Nusa Mandiri and educational institutions in the Bekasi area.
Analisa Kepuasan Penggunaan Website RETA (Rekap Tagihan) Pada PT. Telekomunikasi Selular Menggunakan Metode Webqual 4.0 Destari Rahmadani Putri; Dedi Destio Irawan; Marscal Panjaitan; Nita Merlina; Nissa Almira Mayangky
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 1 No. 3 (2022): September: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v1i3.553

Abstract

Penelitian ini bertujuan untuk mengetahui seberapa baik kualitas website RETA (Rekap Tagihan) yang digunakan Admin Support dari PT. Telekomunikasi Selular dengan metode Webqual 4.0 yang berfokus pada beberapa variabel bebas diantaranya Usability Quality (Kualitas Kegunaan) sebagai X1, Information Quality (Kualitas Informasi) sebagai X2, Service Interaction Quality (Kualitas Interaksi Layanan) sebagai X3 dan variabel terikat yaitu User Satisfaction /Overall (Kepuasan Pengguna/Keseluruhan) sebagai Y. Peneliti menggunakan metode penelitian seperti wawancara, penyebaran kuesioner kepada 103 responden dengan menggunakan skala likert, serta melakukan studi pustaka. Penelitian ini menunjukkan bahwa variabel X1 berpengaruh sebesar 90,39%, X2 sebesar 88,11%, X3 sebesar 88,74%, dan untuk Y sebesar 89,13% dengan nilai rata – rata sebesar 89,09% pada perhitungan nilai setiap dimensi. Untuk hasil perhitungan koefisien korelasi diketahui X1 memiliki nilai 0,72, X2 memiliki nilai 0,848, dan X3 memiliki nilai 0,702 artinya ketiga variabel bebas tersebut mempunyai hubungan kuat dan positif, dan variabel bebas tersebut dapat diterima. Untuk uji T hasil yang didapatkan diketahui X1 memiliki nilai t hitung sebesar 2,156, X2 memiliki nilai t hitung sebesar 7,619, dan X3 memiliki nilai t hitung sebesar 2,098 artinya lebih besar dari t tabel yaitu 1,984 menandakan ketiga variabel bebas berpengaruh secara parsial terhadap variabel terikat. Untuk uji F hasil yang didapatkan diketahui nilai F hitung sebesar 100,22 artinya lebih besar dari F tabel yaitu 2,696 menandakan ketiga variabel bebas berpengaruh secara simultan terhadap variabel terikat.